{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}SA Study 2 Log File
       {txt}log:  {res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study2_Conyers/Logs/sa_study2_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2020, 15:11:09
{txt}
{com}. 
. ********************************    Table 2A    ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables
{txt}
{com}. 
. outreg2 using descriptive_study2.doc, replace sum(log) ///
> keep(female high_ed age hisp black asian partisan rep_other_dummy dem_other_dummy)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}age {c |}{res}        504    38.63889    12.63577         18         99
{txt}{space 9}pid {c |}{res}        504    2.134921    .8060721          1          4
{txt}{space 9}rep {c |}{res}        121    1.586777    .4944597          1          2
{txt}{space 9}dem {c |}{res}        207    1.502415    .5012063          1          2
{txt}{space 9}ind {c |}{res}        176    2.210227    .7453536          1          3
{txt}{hline 13}{c +}{hline 57}
{space 8}news {c |}{res}        504     1.85119    .6580882          1          4
{txt}{space 4}demtherm {c |}{res}        504     44.6131    28.05411          0        100
{txt}{space 4}reptherm {c |}{res}        504    32.61905    28.97071          0        100
{txt}{space 6}typdem {c |}{res}        504    2.668651    .7921894          1          4
{txt}{space 6}typpol {c |}{res}        504    2.303571    .7441669          1          4
{txt}{hline 13}{c +}{hline 57}
{space 7}fknws {c |}{res}        504    1.926587    .7053949          1          4
{txt}{space 9}gen {c |}{res}        504    1.450397    .4980278          1          2
{txt}{space 9}edu {c |}{res}        504    4.613095     .864076          2          6
{txt}{space 6}etid_1 {c |}{res}        417           1           0          1          1
{txt}{space 6}etid_2 {c |}{res}         37           1           0          1          1
{txt}{hline 13}{c +}{hline 57}
{space 6}etid_3 {c |}{res}         40           1           0          1          1
{txt}{space 6}etid_4 {c |}{res}          6           1           0          1          1
{txt}{space 6}etid_5 {c |}{res}         23           1           0          1          1
{txt}{space 6}etid_6 {c |}{res}          4           1           0          1          1
{txt}block2_do_~3 {c |}{res}        156           1           0          1          1
{txt}{hline 13}{c +}{hline 57}
block2_do_~2 {c |}{res}        166           1           0          1          1
{txt}block2_do_~1 {c |}{res}        182           1           0          1          1
{txt}{space 4}democrat {c |}{res}        433    .6420323    .4799571          0          1
{txt}{space 2}republican {c |}{res}        433    .3579677    .4799571          0          1
{txt}dem_other_~y {c |}{res}        504    .5515873    .4978258          0          1
{txt}{hline 13}{c +}{hline 57}
rep_other_~y {c |}{res}        504    .3075397    .4619333          0          1
{txt}{space 8}pid7 {c |}{res}        504    3.480159     2.01673          1          7
{txt}{space 4}partisan {c |}{res}        504     .859127    .3482362          0          1
{txt}{space 6}female {c |}{res}        504    .4503968    .4980278          0          1
{txt}{space 8}hisp {c |}{res}        504    .0456349    .2088994          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}black {c |}{res}        504    .0734127    .2610718          0          1
{txt}{space 7}asian {c |}{res}        504    .0793651    .2705763          0          1
{txt}{space 7}white {c |}{res}        504     .827381    .3782931          0          1
{txt}{space 7}t2vt1 {c |}{res}        348    .4770115    .5001904          0          1
{txt}{space 7}t3vt1 {c |}{res}        338    .4615385    .4992576          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}t3vt2 {c |}{res}        322     .484472    .5005367          0          1
{txt}{space 5}expcond {c |}{res}        504    1.948413    .8181086          1          3
{txt}conyers_race {c |}{res}        504    .3690476    .4830263          0          1
{txt}{space 2}detroit_mm {c |}{res}        504    .0297619    .1700986          0          1
{txt}{space 2}vclosenews {c |}{res}        504    .2896825    .4540657          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}high_ed {c |}{res}        504    .5734127    .4950726          0          1
{txt}duplicate_ip {c |}{res}        504    .0178571    .1717602          0          2
{txt}duplicate_~g {c |}{res}        504    .1388889    .4889998          0          4

Following variable is string, not included:  
responseid  
{txt}{stata `"shellout using `"descriptive_study2.doc"'"':descriptive_study2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "descriptive_study2.txt""':seeout}

{com}. 
. *****************************   Table 4A (Col 2)   *****************************
. 
. mlogit expcond female edu black hisp asian age news dem_other_dummy rep_other_dummy, b(1)

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-552.68171}  
Iteration 1:{space 3}log likelihood = {res:-544.96697}  
Iteration 2:{space 3}log likelihood = {res:-544.93865}  
Iteration 3:{space 3}log likelihood = {res:-544.93865}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       504
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}     15.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.6284
{txt}Log likelihood = {res}-544.93865{txt}{col 49}Pseudo R2{col 67}= {res}    0.0140

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        expcond{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2               {txt}{c |}
{space 9}female {c |}{col 17}{res}{space 2} .0971202{col 29}{space 2} .2216199{col 40}{space 1}    0.44{col 49}{space 3}0.661{col 57}{space 4}-.3372469{col 70}{space 3} .5314873
{txt}{space 12}edu {c |}{col 17}{res}{space 2}-.1571614{col 29}{space 2} .1287667{col 40}{space 1}   -1.22{col 49}{space 3}0.222{col 57}{space 4}-.4095395{col 70}{space 3} .0952167
{txt}{space 10}black {c |}{col 17}{res}{space 2}-.4850681{col 29}{space 2} .4172532{col 40}{space 1}   -1.16{col 49}{space 3}0.245{col 57}{space 4}-1.302869{col 70}{space 3}  .332733
{txt}{space 11}hisp {c |}{col 17}{res}{space 2} .0416116{col 29}{space 2} .4951935{col 40}{space 1}    0.08{col 49}{space 3}0.933{col 57}{space 4}-.9289499{col 70}{space 3} 1.012173
{txt}{space 10}asian {c |}{col 17}{res}{space 2}-.3147408{col 29}{space 2} .3948173{col 40}{space 1}   -0.80{col 49}{space 3}0.425{col 57}{space 4}-1.088568{col 70}{space 3} .4590869
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0005592{col 29}{space 2} .0090092{col 40}{space 1}    0.06{col 49}{space 3}0.951{col 57}{space 4}-.0170986{col 70}{space 3} .0182169
{txt}{space 11}news {c |}{col 17}{res}{space 2}-.3121349{col 29}{space 2} .1714357{col 40}{space 1}   -1.82{col 49}{space 3}0.069{col 57}{space 4}-.6481428{col 70}{space 3}  .023873
{txt}dem_other_dummy {c |}{col 17}{res}{space 2}-.3266083{col 29}{space 2} .3267153{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.9669586{col 70}{space 3}  .313742
{txt}rep_other_dummy {c |}{col 17}{res}{space 2}-.6883346{col 29}{space 2}  .357353{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-1.388734{col 70}{space 3} .0120643
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  1.59097{col 29}{space 2} .8548058{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4}-.0844185{col 70}{space 3} 3.266359
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3               {txt}{c |}
{space 9}female {c |}{col 17}{res}{space 2} .0316102{col 29}{space 2} .2247607{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-.4089126{col 70}{space 3}  .472133
{txt}{space 12}edu {c |}{col 17}{res}{space 2}-.0883137{col 29}{space 2} .1296234{col 40}{space 1}   -0.68{col 49}{space 3}0.496{col 57}{space 4}-.3423708{col 70}{space 3} .1657435
{txt}{space 10}black {c |}{col 17}{res}{space 2}-.4352833{col 29}{space 2} .4287041{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-1.275528{col 70}{space 3} .4049613
{txt}{space 11}hisp {c |}{col 17}{res}{space 2}-.5714951{col 29}{space 2} .5747639{col 40}{space 1}   -0.99{col 49}{space 3}0.320{col 57}{space 4}-1.698012{col 70}{space 3} .5550214
{txt}{space 10}asian {c |}{col 17}{res}{space 2}-.8140865{col 29}{space 2} .4496273{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4} -1.69534{col 70}{space 3} .0671668
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0052271{col 29}{space 2} .0091411{col 40}{space 1}   -0.57{col 49}{space 3}0.567{col 57}{space 4}-.0231433{col 70}{space 3} .0126891
{txt}{space 11}news {c |}{col 17}{res}{space 2} -.110101{col 29}{space 2} .1711702{col 40}{space 1}   -0.64{col 49}{space 3}0.520{col 57}{space 4}-.4455885{col 70}{space 3} .2253864
{txt}dem_other_dummy {c |}{col 17}{res}{space 2}-.1467877{col 29}{space 2} .3468507{col 40}{space 1}   -0.42{col 49}{space 3}0.672{col 57}{space 4}-.8266027{col 70}{space 3} .5330272
{txt}rep_other_dummy {c |}{col 17}{res}{space 2}-.0902054{col 29}{space 2} .3656696{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4}-.8069047{col 70}{space 3} .6264938
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8755794{col 29}{space 2} .8662759{col 40}{space 1}    1.01{col 49}{space 3}0.312{col 57}{space 4}-.8222901{col 70}{space 3} 2.573449
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using balance1.doc, append addstat(LR chi2(16), e(chi2), p, e(p)) ctitle(Conyers) long
{txt}{stata `"shellout using `"balance1.doc"'"':balance1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "balance1.txt""':seeout}

{com}. 
. ********************************    Table 8A    ********************************
. 
. reg demtherm i.t2vt1##i.pid7 if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       197
{txt}{hline 13}{c +}{hline 34}   F(5, 191)       = {res}    13.19
{txt}       Model {c |} {res} 27525.3445         5   5505.0689   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 79706.7773       191   417.31297   {txt}R-squared       ={res}    0.2567
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2372
{txt}       Total {c |} {res} 107232.122       196  547.102662   {txt}Root MSE        =   {res} 20.428

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  demtherm{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}t2vt1 {c |}
{space 14}Treatment 2  {c |}{col 28}{res}{space 2} 2.105655{col 40}{space 2} 4.793439{col 51}{space 1}    0.44{col 60}{space 3}0.661{col 68}{space 4}-7.349221{col 81}{space 3} 11.56053
{txt}{space 26} {c |}
{space 22}pid7 {c |}
{space 12}Weak Democrat  {c |}{col 28}{res}{space 2}-15.57143{col 40}{space 2} 4.639833{col 51}{space 1}   -3.36{col 60}{space 3}0.001{col 68}{space 4}-24.72332{col 81}{space 3}-6.419534
{txt}{space 12}Lean Democrat  {c |}{col 28}{res}{space 2}-16.25983{col 40}{space 2} 5.299063{col 51}{space 1}   -3.07{col 60}{space 3}0.002{col 68}{space 4}-26.71203{col 81}{space 3}-5.807635
{txt}{space 26} {c |}
{space 16}t2vt1#pid7 {c |}
Treatment 2#Weak Democrat  {c |}{col 28}{res}{space 2} 4.017152{col 40}{space 2} 6.749148{col 51}{space 1}    0.60{col 60}{space 3}0.552{col 68}{space 4}-9.295286{col 81}{space 3} 17.32959
{txt}Treatment 2#Lean Democrat  {c |}{col 28}{res}{space 2}-21.23776{col 40}{space 2}  7.56119{col 51}{space 1}   -2.81{col 60}{space 3}0.005{col 68}{space 4}-36.15192{col 81}{space 3}-6.323602
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  71.7381{col 40}{space 2} 3.152146{col 51}{space 1}   22.76{col 60}{space 3}0.000{col 68}{space 4} 65.52061{col 81}{space 3} 77.95558
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyerspidh1.doc, replace
{txt}{stata `"shellout using `"conyerspidh1.doc"'"':conyerspidh1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyerspidh1.txt""':seeout}

{com}. 
. ********************************    Table 9A    ********************************
. 
. reg demtherm i.t3vt2##i.pid7 if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       177
{txt}{hline 13}{c +}{hline 34}   F(5, 171)       = {res}    16.43
{txt}       Model {c |} {res} 30362.0848         5  6072.41696   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  63216.322       171  369.686093   {txt}R-squared       ={res}    0.3245
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3047
{txt}       Total {c |} {res} 93578.4068       176  531.695493   {txt}Root MSE        =   {res} 19.227

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  demtherm{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}t3vt2 {c |}
{space 14}Treatment 3  {c |}{col 28}{res}{space 2}-3.981681{col 40}{space 2} 4.929552{col 51}{space 1}   -0.81{col 60}{space 3}0.420{col 68}{space 4}-13.71229{col 81}{space 3}  5.74893
{txt}{space 26} {c |}
{space 22}pid7 {c |}
{space 12}Weak Democrat  {c |}{col 28}{res}{space 2}-11.55428{col 40}{space 2} 4.613163{col 51}{space 1}   -2.50{col 60}{space 3}0.013{col 68}{space 4}-20.66036{col 81}{space 3}-2.448197
{txt}{space 12}Lean Democrat  {c |}{col 28}{res}{space 2} -37.4976{col 40}{space 2} 5.076553{col 51}{space 1}   -7.39{col 60}{space 3}0.000{col 68}{space 4}-47.51838{col 81}{space 3}-27.47682
{txt}{space 26} {c |}
{space 16}t3vt2#pid7 {c |}
Treatment 3#Weak Democrat  {c |}{col 28}{res}{space 2} 3.192207{col 40}{space 2} 6.808226{col 51}{space 1}    0.47{col 60}{space 3}0.640{col 68}{space 4}-10.24678{col 81}{space 3}  16.6312
{txt}Treatment 3#Lean Democrat  {c |}{col 28}{res}{space 2} 10.18098{col 40}{space 2}  7.43795{col 51}{space 1}    1.37{col 60}{space 3}0.173{col 68}{space 4} -4.50104{col 81}{space 3}   24.863
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 73.84375{col 40}{space 2} 3.398925{col 51}{space 1}   21.73{col 60}{space 3}0.000{col 68}{space 4}  67.1345{col 81}{space 3}   80.553
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyerspidh2.doc, replace
{txt}{stata `"shellout using `"conyerspidh2.doc"'"':conyerspidh2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyerspidh2.txt""':seeout}

{com}. 
. *******************************    Table 10A    ********************************
. 
. reg reptherm i.t2vt1##i.pid7 if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       101
{txt}{hline 13}{c +}{hline 34}   F(5, 95)        = {res}     5.58
{txt}       Model {c |} {res}  12226.314         5  2445.26281   {txt}Prob > F        ={res}    0.0002
{txt}    Residual {c |} {res} 41665.0523        95  438.579498   {txt}R-squared       ={res}    0.2269
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1862
{txt}       Total {c |} {res} 53891.3663       100  538.913663   {txt}Root MSE        =   {res} 20.942

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      reptherm{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}t2vt1 {c |}
{space 18}Treatment 2  {c |}{col 32}{res}{space 2} -4.72549{col 44}{space 2} 9.944615{col 55}{space 1}   -0.48{col 64}{space 3}0.636{col 72}{space 4}-24.46805{col 85}{space 3} 15.01707
{txt}{space 30} {c |}
{space 26}pid7 {c |}
{space 14}Weak Republican  {c |}{col 32}{res}{space 2} -2.72549{col 44}{space 2} 6.638745{col 55}{space 1}   -0.41{col 64}{space 3}0.682{col 72}{space 4}-15.90507{col 85}{space 3} 10.45409
{txt}{space 12}Strong Republican  {c |}{col 32}{res}{space 2} 20.88562{col 44}{space 2} 7.082678{col 55}{space 1}    2.95{col 64}{space 3}0.004{col 72}{space 4} 6.824728{col 85}{space 3} 34.94651
{txt}{space 30} {c |}
{space 20}t2vt1#pid7 {c |}
{space 2}Treatment 2#Weak Republican  {c |}{col 32}{res}{space 2} 17.89216{col 44}{space 2} 11.89685{col 55}{space 1}    1.50{col 64}{space 3}0.136{col 72}{space 4}-5.726077{col 85}{space 3} 41.51039
{txt}Treatment 2#Strong Republican  {c |}{col 32}{res}{space 2} 7.447712{col 44}{space 2} 12.15016{col 55}{space 1}    0.61{col 64}{space 3}0.541{col 72}{space 4}-16.67341{col 85}{space 3} 31.56883
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 54.05882{col 44}{space 2} 5.079251{col 55}{space 1}   10.64{col 64}{space 3}0.000{col 72}{space 4} 43.97523{col 85}{space 3} 64.14241
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyerspidh3.doc, replace
{txt}{stata `"shellout using `"conyerspidh3.doc"'"':conyerspidh3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyerspidh3.txt""':seeout}

{com}. 
. *******************************    Figure 4A    ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures
{txt}
{com}. 
. reg demtherm i.t2vt1##i.pid7 if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       197
{txt}{hline 13}{c +}{hline 34}   F(5, 191)       = {res}    13.19
{txt}       Model {c |} {res} 27525.3445         5   5505.0689   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 79706.7773       191   417.31297   {txt}R-squared       ={res}    0.2567
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2372
{txt}       Total {c |} {res} 107232.122       196  547.102662   {txt}Root MSE        =   {res} 20.428

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  demtherm{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}t2vt1 {c |}
{space 14}Treatment 2  {c |}{col 28}{res}{space 2} 2.105655{col 40}{space 2} 4.793439{col 51}{space 1}    0.44{col 60}{space 3}0.661{col 68}{space 4}-7.349221{col 81}{space 3} 11.56053
{txt}{space 26} {c |}
{space 22}pid7 {c |}
{space 12}Weak Democrat  {c |}{col 28}{res}{space 2}-15.57143{col 40}{space 2} 4.639833{col 51}{space 1}   -3.36{col 60}{space 3}0.001{col 68}{space 4}-24.72332{col 81}{space 3}-6.419534
{txt}{space 12}Lean Democrat  {c |}{col 28}{res}{space 2}-16.25983{col 40}{space 2} 5.299063{col 51}{space 1}   -3.07{col 60}{space 3}0.002{col 68}{space 4}-26.71203{col 81}{space 3}-5.807635
{txt}{space 26} {c |}
{space 16}t2vt1#pid7 {c |}
Treatment 2#Weak Democrat  {c |}{col 28}{res}{space 2} 4.017152{col 40}{space 2} 6.749148{col 51}{space 1}    0.60{col 60}{space 3}0.552{col 68}{space 4}-9.295286{col 81}{space 3} 17.32959
{txt}Treatment 2#Lean Democrat  {c |}{col 28}{res}{space 2}-21.23776{col 40}{space 2}  7.56119{col 51}{space 1}   -2.81{col 60}{space 3}0.005{col 68}{space 4}-36.15192{col 81}{space 3}-6.323602
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  71.7381{col 40}{space 2} 3.152146{col 51}{space 1}   22.76{col 60}{space 3}0.000{col 68}{space 4} 65.52061{col 81}{space 3} 77.95558
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) pid7=(1(1)3)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       197
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  71.7381{col 26}{space 2} 3.152146{col 37}{space 1}   22.76{col 46}{space 3}0.000{col 54}{space 4} 66.52801{col 67}{space 3} 76.94818
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 56.16667{col 26}{space 2} 3.404707{col 37}{space 1}   16.50{col 46}{space 3}0.000{col 54}{space 4} 50.53913{col 67}{space 3} 61.79421
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 55.47826{col 26}{space 2} 4.259582{col 37}{space 1}   13.02{col 46}{space 3}0.000{col 54}{space 4} 48.43772{col 67}{space 3}  62.5188
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 73.84375{col 26}{space 2} 3.611237{col 37}{space 1}   20.45{col 46}{space 3}0.000{col 54}{space 4} 67.87484{col 67}{space 3} 79.81266
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 62.28947{col 26}{space 2} 3.313898{col 37}{space 1}   18.80{col 46}{space 3}0.000{col 54}{space 4} 56.81203{col 67}{space 3} 67.76692
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 36.34615{col 26}{space 2} 4.006307{col 37}{space 1}    9.07{col 46}{space 3}0.000{col 54}{space 4} 29.72425{col 67}{space 3} 42.96806
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(pid7) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(2.5) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 pid7{p_end}
{res}{txt}
{com}. graph export "fig4a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig4a.pdf written in PDF format)

{com}. 
. *******************************    Figure 5A    ********************************
. 
. reg demtherm i.t3vt2##i.pid7 if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       177
{txt}{hline 13}{c +}{hline 34}   F(5, 171)       = {res}    16.43
{txt}       Model {c |} {res} 30362.0848         5  6072.41696   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  63216.322       171  369.686093   {txt}R-squared       ={res}    0.3245
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3047
{txt}       Total {c |} {res} 93578.4068       176  531.695493   {txt}Root MSE        =   {res} 19.227

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  demtherm{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}t3vt2 {c |}
{space 14}Treatment 3  {c |}{col 28}{res}{space 2}-3.981681{col 40}{space 2} 4.929552{col 51}{space 1}   -0.81{col 60}{space 3}0.420{col 68}{space 4}-13.71229{col 81}{space 3}  5.74893
{txt}{space 26} {c |}
{space 22}pid7 {c |}
{space 12}Weak Democrat  {c |}{col 28}{res}{space 2}-11.55428{col 40}{space 2} 4.613163{col 51}{space 1}   -2.50{col 60}{space 3}0.013{col 68}{space 4}-20.66036{col 81}{space 3}-2.448197
{txt}{space 12}Lean Democrat  {c |}{col 28}{res}{space 2} -37.4976{col 40}{space 2} 5.076553{col 51}{space 1}   -7.39{col 60}{space 3}0.000{col 68}{space 4}-47.51838{col 81}{space 3}-27.47682
{txt}{space 26} {c |}
{space 16}t3vt2#pid7 {c |}
Treatment 3#Weak Democrat  {c |}{col 28}{res}{space 2} 3.192207{col 40}{space 2} 6.808226{col 51}{space 1}    0.47{col 60}{space 3}0.640{col 68}{space 4}-10.24678{col 81}{space 3}  16.6312
{txt}Treatment 3#Lean Democrat  {c |}{col 28}{res}{space 2} 10.18098{col 40}{space 2}  7.43795{col 51}{space 1}    1.37{col 60}{space 3}0.173{col 68}{space 4} -4.50104{col 81}{space 3}   24.863
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 73.84375{col 40}{space 2} 3.398925{col 51}{space 1}   21.73{col 60}{space 3}0.000{col 68}{space 4}  67.1345{col 81}{space 3}   80.553
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t3vt2=(0(1)1) pid7=(1(1)3)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       177
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 73.84375{col 26}{space 2} 3.398925{col 37}{space 1}   21.73{col 46}{space 3}0.000{col 54}{space 4} 68.22256{col 67}{space 3} 79.46494
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 62.28947{col 26}{space 2} 3.119067{col 37}{space 1}   19.97{col 46}{space 3}0.000{col 54}{space 4} 57.13112{col 67}{space 3} 67.44783
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 36.34615{col 26}{space 2} 3.770769{col 37}{space 1}    9.64{col 46}{space 3}0.000{col 54}{space 4} 30.11001{col 67}{space 3}  42.5823
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 69.86207{col 26}{space 2} 3.570406{col 37}{space 1}   19.57{col 46}{space 3}0.000{col 54}{space 4} 63.95728{col 67}{space 3} 75.76685
{txt}{space 10}5  {c |}{col 14}{res}{space 2}     61.5{col 26}{space 2} 3.510395{col 37}{space 1}   17.52{col 46}{space 3}0.000{col 54}{space 4} 55.69446{col 67}{space 3} 67.30554
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 42.54545{col 26}{space 2} 4.099258{col 37}{space 1}   10.38{col 46}{space 3}0.000{col 54}{space 4} 35.76605{col 67}{space 3} 49.32486
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(pid7) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(2.5) ///
> xlabel(0 "Hypocrisy" 1 "Resignation")

{text}{p 2 6 2}Variables that uniquely identify margins: t3vt2 pid7{p_end}
{res}{txt}
{com}. graph export "fig5a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig5a.pdf written in PDF format)

{com}. 
. *******************************    Figure 6A    ********************************
. 
. reg reptherm i.t2vt1##i.pid7 if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       101
{txt}{hline 13}{c +}{hline 34}   F(5, 95)        = {res}     5.58
{txt}       Model {c |} {res}  12226.314         5  2445.26281   {txt}Prob > F        ={res}    0.0002
{txt}    Residual {c |} {res} 41665.0523        95  438.579498   {txt}R-squared       ={res}    0.2269
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1862
{txt}       Total {c |} {res} 53891.3663       100  538.913663   {txt}Root MSE        =   {res} 20.942

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      reptherm{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}t2vt1 {c |}
{space 18}Treatment 2  {c |}{col 32}{res}{space 2} -4.72549{col 44}{space 2} 9.944615{col 55}{space 1}   -0.48{col 64}{space 3}0.636{col 72}{space 4}-24.46805{col 85}{space 3} 15.01707
{txt}{space 30} {c |}
{space 26}pid7 {c |}
{space 14}Weak Republican  {c |}{col 32}{res}{space 2} -2.72549{col 44}{space 2} 6.638745{col 55}{space 1}   -0.41{col 64}{space 3}0.682{col 72}{space 4}-15.90507{col 85}{space 3} 10.45409
{txt}{space 12}Strong Republican  {c |}{col 32}{res}{space 2} 20.88562{col 44}{space 2} 7.082678{col 55}{space 1}    2.95{col 64}{space 3}0.004{col 72}{space 4} 6.824728{col 85}{space 3} 34.94651
{txt}{space 30} {c |}
{space 20}t2vt1#pid7 {c |}
{space 2}Treatment 2#Weak Republican  {c |}{col 32}{res}{space 2} 17.89216{col 44}{space 2} 11.89685{col 55}{space 1}    1.50{col 64}{space 3}0.136{col 72}{space 4}-5.726077{col 85}{space 3} 41.51039
{txt}Treatment 2#Strong Republican  {c |}{col 32}{res}{space 2} 7.447712{col 44}{space 2} 12.15016{col 55}{space 1}    0.61{col 64}{space 3}0.541{col 72}{space 4}-16.67341{col 85}{space 3} 31.56883
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 54.05882{col 44}{space 2} 5.079251{col 55}{space 1}   10.64{col 64}{space 3}0.000{col 72}{space 4} 43.97523{col 85}{space 3} 64.14241
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) pid7=(5(1)7)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       101
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 54.05882{col 26}{space 2} 5.079251{col 37}{space 1}   10.64{col 46}{space 3}0.000{col 54}{space 4} 45.62192{col 67}{space 3} 62.49572
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 51.33333{col 26}{space 2} 4.274827{col 37}{space 1}   12.01{col 46}{space 3}0.000{col 54}{space 4} 44.23262{col 67}{space 3} 58.43404
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 74.94444{col 26}{space 2} 4.936145{col 37}{space 1}   15.18{col 46}{space 3}0.000{col 54}{space 4} 66.74525{col 67}{space 3} 83.14364
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 49.33333{col 26}{space 2} 8.549654{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} 35.13192{col 67}{space 3} 63.53475
{txt}{space 10}5  {c |}{col 14}{res}{space 2}     64.5{col 26}{space 2} 4.936145{col 37}{space 1}   13.07{col 46}{space 3}0.000{col 54}{space 4} 56.30081{col 67}{space 3} 72.69919
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 77.66667{col 26}{space 2} 4.936145{col 37}{space 1}   15.73{col 46}{space 3}0.000{col 54}{space 4} 69.46747{col 67}{space 3} 85.86586
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(pid7) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(2.5) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 pid7{p_end}
{res}{txt}
{com}. graph export "fig6a.pdf", replace as(pdf)
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig6a.pdf written in PDF format)

{com}. 
. *******************************    Table 14A    ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables
{txt}
{com}. 
. reg demtherm i.t2vt1##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       197
{txt}{hline 13}{c +}{hline 34}   F(3, 193)       = {res}     0.66
{txt}       Model {c |} {res} 1094.60262         3  364.867541   {txt}Prob > F        ={res}    0.5755
{txt}    Residual {c |} {res} 106137.519       193  549.935333   {txt}R-squared       ={res}    0.0102
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0052
{txt}       Total {c |} {res} 107232.122       196  547.102662   {txt}Root MSE        =   {res} 23.451

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2}-3.094275{col 52}{space 2} 4.076211{col 63}{space 1}   -0.76{col 72}{space 3}0.449{col 80}{space 4}-11.13391{col 93}{space 3} 4.945364
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 4.193897{col 52}{space 2}  5.10654{col 63}{space 1}    0.82{col 72}{space 3}0.413{col 80}{space 4}-5.877893{col 93}{space 3} 14.26569
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.456705{col 52}{space 2} 7.149912{col 63}{space 1}   -0.20{col 72}{space 3}0.839{col 80}{space 4} -15.5587{col 93}{space 3} 12.64529
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 61.23944{col 52}{space 2} 2.783086{col 63}{space 1}   22.00{col 72}{space 3}0.000{col 80}{space 4} 55.75027{col 93}{space 3} 66.72861
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersnewsh1.doc, replace
{txt}{stata `"shellout using `"conyersnewsh1.doc"'"':conyersnewsh1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersnewsh1.txt""':seeout}

{com}. 
. *******************************    Table 15A    ********************************
. 
. reg demtherm i.t3vt2##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       177
{txt}{hline 13}{c +}{hline 34}   F(3, 173)       = {res}     0.36
{txt}       Model {c |} {res}  573.57196         3  191.190653   {txt}Prob > F        ={res}    0.7851
{txt}    Residual {c |} {res} 93004.8348       173  537.600201   {txt}R-squared       ={res}    0.0061
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0111
{txt}       Total {c |} {res} 93578.4068       176  531.695493   {txt}Root MSE        =   {res} 23.186

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t3vt2 {c |}
{space 26}Treatment 3  {c |}{col 40}{res}{space 2}-.4281802{col 52}{space 2} 4.337554{col 63}{space 1}   -0.10{col 72}{space 3}0.921{col 80}{space 4}-8.989519{col 93}{space 3} 8.133159
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 2.737192{col 52}{space 2} 4.948004{col 63}{space 1}    0.55{col 72}{space 3}0.581{col 80}{space 4}-7.029036{col 93}{space 3} 12.50342
{txt}{space 38} {c |}
{space 22}t3vt2#vclosenews {c |}
Treatment 3#Follows News Very Closely  {c |}{col 40}{res}{space 2} 1.974399{col 52}{space 2} 7.336631{col 63}{space 1}    0.27{col 72}{space 3}0.788{col 80}{space 4}-12.50643{col 93}{space 3} 16.45523
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 58.14516{col 52}{space 2} 2.944651{col 63}{space 1}   19.75{col 72}{space 3}0.000{col 80}{space 4} 52.33309{col 93}{space 3} 63.95723
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersnewsh2.doc, replace
{txt}{stata `"shellout using `"conyersnewsh2.doc"'"':conyersnewsh2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersnewsh2.txt""':seeout}

{com}. 
. *******************************    Table 16A    ********************************
. 
. reg reptherm i.t2vt1##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       101
{txt}{hline 13}{c +}{hline 34}   F(3, 97)        = {res}     1.29
{txt}       Model {c |} {res} 2069.46314         3  689.821045   {txt}Prob > F        ={res}    0.2818
{txt}    Residual {c |} {res} 51821.9032        97  534.246425   {txt}R-squared       ={res}    0.0384
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0087
{txt}       Total {c |} {res} 53891.3663       100  538.913663   {txt}Root MSE        =   {res} 23.114

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} 6.373023{col 52}{space 2} 5.813277{col 63}{space 1}    1.10{col 72}{space 3}0.276{col 80}{space 4}-5.164723{col 93}{space 3} 17.91077
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-2.156977{col 52}{space 2} 6.768658{col 63}{space 1}   -0.32{col 72}{space 3}0.751{col 80}{space 4}-15.59089{col 93}{space 3} 11.27694
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2} 6.347565{col 52}{space 2}   9.9303{col 63}{space 1}    0.64{col 72}{space 3}0.524{col 80}{space 4}-13.36133{col 93}{space 3} 26.05646
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 59.90698{col 52}{space 2} 3.524817{col 63}{space 1}   17.00{col 72}{space 3}0.000{col 80}{space 4} 52.91119{col 93}{space 3} 66.90276
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersnewsh3.doc, replace
{txt}{stata `"shellout using `"conyersnewsh3.doc"'"':conyersnewsh3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersnewsh3.txt""':seeout}

{com}. 
. *******************************    Figure 10A   ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures
{txt}
{com}. 
. reg demtherm i.t2vt1##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       197
{txt}{hline 13}{c +}{hline 34}   F(3, 193)       = {res}     0.66
{txt}       Model {c |} {res} 1094.60262         3  364.867541   {txt}Prob > F        ={res}    0.5755
{txt}    Residual {c |} {res} 106137.519       193  549.935333   {txt}R-squared       ={res}    0.0102
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0052
{txt}       Total {c |} {res} 107232.122       196  547.102662   {txt}Root MSE        =   {res} 23.451

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2}-3.094275{col 52}{space 2} 4.076211{col 63}{space 1}   -0.76{col 72}{space 3}0.449{col 80}{space 4}-11.13391{col 93}{space 3} 4.945364
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 4.193897{col 52}{space 2}  5.10654{col 63}{space 1}    0.82{col 72}{space 3}0.413{col 80}{space 4}-5.877893{col 93}{space 3} 14.26569
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.456705{col 52}{space 2} 7.149912{col 63}{space 1}   -0.20{col 72}{space 3}0.839{col 80}{space 4} -15.5587{col 93}{space 3} 12.64529
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 61.23944{col 52}{space 2} 2.783086{col 63}{space 1}   22.00{col 72}{space 3}0.000{col 80}{space 4} 55.75027{col 93}{space 3} 66.72861
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       197
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 61.23944{col 26}{space 2} 2.783086{col 37}{space 1}   22.00{col 46}{space 3}0.000{col 54}{space 4} 56.63959{col 67}{space 3} 65.83929
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 65.43333{col 26}{space 2} 4.281492{col 37}{space 1}   15.28{col 46}{space 3}0.000{col 54}{space 4} 58.35694{col 67}{space 3} 72.50973
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 58.14516{col 26}{space 2} 2.978242{col 37}{space 1}   19.52{col 46}{space 3}0.000{col 54}{space 4} 53.22276{col 67}{space 3} 63.06756
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 60.88235{col 26}{space 2} 4.021762{col 37}{space 1}   15.14{col 46}{space 3}0.000{col 54}{space 4} 54.23524{col 67}{space 3} 67.52947
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(vclosenews) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(3) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 vclosenews{p_end}
{res}{txt}
{com}. graph export "fig10a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig10a.pdf written in PDF format)

{com}. 
. *******************************    Figure 11A   ********************************
. 
. reg demtherm i.t3vt2##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       177
{txt}{hline 13}{c +}{hline 34}   F(3, 173)       = {res}     0.36
{txt}       Model {c |} {res}  573.57196         3  191.190653   {txt}Prob > F        ={res}    0.7851
{txt}    Residual {c |} {res} 93004.8348       173  537.600201   {txt}R-squared       ={res}    0.0061
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0111
{txt}       Total {c |} {res} 93578.4068       176  531.695493   {txt}Root MSE        =   {res} 23.186

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t3vt2 {c |}
{space 26}Treatment 3  {c |}{col 40}{res}{space 2}-.4281802{col 52}{space 2} 4.337554{col 63}{space 1}   -0.10{col 72}{space 3}0.921{col 80}{space 4}-8.989519{col 93}{space 3} 8.133159
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 2.737192{col 52}{space 2} 4.948004{col 63}{space 1}    0.55{col 72}{space 3}0.581{col 80}{space 4}-7.029036{col 93}{space 3} 12.50342
{txt}{space 38} {c |}
{space 22}t3vt2#vclosenews {c |}
Treatment 3#Follows News Very Closely  {c |}{col 40}{res}{space 2} 1.974399{col 52}{space 2} 7.336631{col 63}{space 1}    0.27{col 72}{space 3}0.788{col 80}{space 4}-12.50643{col 93}{space 3} 16.45523
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 58.14516{col 52}{space 2} 2.944651{col 63}{space 1}   19.75{col 72}{space 3}0.000{col 80}{space 4} 52.33309{col 93}{space 3} 63.95723
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t3vt2=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       177
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 58.14516{col 26}{space 2} 2.944651{col 37}{space 1}   19.75{col 46}{space 3}0.000{col 54}{space 4} 53.27556{col 67}{space 3} 63.01476
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 60.88235{col 26}{space 2} 3.976402{col 37}{space 1}   15.31{col 46}{space 3}0.000{col 54}{space 4} 54.30654{col 67}{space 3} 67.45816
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 57.71698{col 26}{space 2}  3.18487{col 37}{space 1}   18.12{col 46}{space 3}0.000{col 54}{space 4} 52.45013{col 67}{space 3} 62.98383
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 62.42857{col 26}{space 2} 4.381781{col 37}{space 1}   14.25{col 46}{space 3}0.000{col 54}{space 4} 55.18238{col 67}{space 3} 69.67476
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(vclosenews) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(3) ///
> xlabel(0 "Hypocrisy" 1 "Resignation")

{text}{p 2 6 2}Variables that uniquely identify margins: t3vt2 vclosenews{p_end}
{res}{txt}
{com}. graph export "fig11a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig11a.pdf written in PDF format)

{com}. 
. *******************************    Figure 12A   ********************************
. 
. reg reptherm i.t2vt1##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       101
{txt}{hline 13}{c +}{hline 34}   F(3, 97)        = {res}     1.29
{txt}       Model {c |} {res} 2069.46314         3  689.821045   {txt}Prob > F        ={res}    0.2818
{txt}    Residual {c |} {res} 51821.9032        97  534.246425   {txt}R-squared       ={res}    0.0384
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0087
{txt}       Total {c |} {res} 53891.3663       100  538.913663   {txt}Root MSE        =   {res} 23.114

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} 6.373023{col 52}{space 2} 5.813277{col 63}{space 1}    1.10{col 72}{space 3}0.276{col 80}{space 4}-5.164723{col 93}{space 3} 17.91077
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-2.156977{col 52}{space 2} 6.768658{col 63}{space 1}   -0.32{col 72}{space 3}0.751{col 80}{space 4}-15.59089{col 93}{space 3} 11.27694
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2} 6.347565{col 52}{space 2}   9.9303{col 63}{space 1}    0.64{col 72}{space 3}0.524{col 80}{space 4}-13.36133{col 93}{space 3} 26.05646
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 59.90698{col 52}{space 2} 3.524817{col 63}{space 1}   17.00{col 72}{space 3}0.000{col 80}{space 4} 52.91119{col 93}{space 3} 66.90276
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       101
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 59.90698{col 26}{space 2} 3.524817{col 37}{space 1}   17.00{col 46}{space 3}0.000{col 54}{space 4} 54.05326{col 67}{space 3} 65.76069
{txt}{space 10}2  {c |}{col 14}{res}{space 2}    57.75{col 26}{space 2} 5.778443{col 37}{space 1}    9.99{col 46}{space 3}0.000{col 54}{space 4} 48.15366{col 67}{space 3} 67.34634
{txt}{space 10}3  {c |}{col 14}{res}{space 2}    66.28{col 26}{space 2} 4.622754{col 37}{space 1}   14.34{col 46}{space 3}0.000{col 54}{space 4} 58.60292{col 67}{space 3} 73.95708
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 70.47059{col 26}{space 2} 5.605913{col 37}{space 1}   12.57{col 46}{space 3}0.000{col 54}{space 4} 61.16077{col 67}{space 3} 79.78041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(vclosenews) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(3) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 vclosenews{p_end}
{res}{txt}
{com}. graph export "fig12a.pdf", replace as(pdf)
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig12a.pdf written in PDF format)

{com}. 
. *******************************   Table 20A   **********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables
{txt}
{com}. 
. reg demtherm i.t2vt1##i.democrat age edu female black hisp asian

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       298
{txt}{hline 13}{c +}{hline 34}   F(9, 288)       = {res}    26.08
{txt}       Model {c |} {res} 113207.427         9   12578.603   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 138901.956       288  482.298457   {txt}R-squared       ={res}    0.4490
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4318
{txt}       Total {c |} {res} 252109.383       297   848.85314   {txt}Root MSE        =   {res} 21.961

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t2vt1 {c |}
{space 9}Treatment 2  {c |}{col 23}{res}{space 2} .0909797{col 35}{space 2} 4.480051{col 46}{space 1}    0.02{col 55}{space 3}0.984{col 63}{space 4}-8.726814{col 76}{space 3} 8.908773
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 42.15305{col 35}{space 2} 3.667245{col 46}{space 1}   11.49{col 55}{space 3}0.000{col 63}{space 4} 34.93505{col 76}{space 3} 49.37105
{txt}{space 21} {c |}
{space 7}t2vt1#democrat {c |}
Treatment 2#Democrat  {c |}{col 23}{res}{space 2}-3.597566{col 35}{space 2} 5.454591{col 46}{space 1}   -0.66{col 55}{space 3}0.510{col 63}{space 4}-14.33348{col 76}{space 3} 7.138352
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2}-.0748546{col 35}{space 2} .1056313{col 46}{space 1}   -0.71{col 55}{space 3}0.479{col 63}{space 4}-.2827619{col 76}{space 3} .1330527
{txt}{space 18}edu {c |}{col 23}{res}{space 2} .1879896{col 35}{space 2} 1.528188{col 46}{space 1}    0.12{col 55}{space 3}0.902{col 63}{space 4}-2.819845{col 76}{space 3} 3.195824
{txt}{space 15}female {c |}{col 23}{res}{space 2} 4.434864{col 35}{space 2} 2.593444{col 46}{space 1}    1.71{col 55}{space 3}0.088{col 63}{space 4}-.6696443{col 76}{space 3} 9.539372
{txt}{space 16}black {c |}{col 23}{res}{space 2} -10.2042{col 35}{space 2} 4.862566{col 46}{space 1}   -2.10{col 55}{space 3}0.037{col 63}{space 4}-19.77487{col 76}{space 3} -.633529
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-8.107654{col 35}{space 2} 5.918967{col 46}{space 1}   -1.37{col 55}{space 3}0.172{col 63}{space 4}-19.75757{col 76}{space 3} 3.542266
{txt}{space 16}asian {c |}{col 23}{res}{space 2} 3.465312{col 35}{space 2} 4.466231{col 46}{space 1}    0.78{col 55}{space 3}0.438{col 63}{space 4}-5.325281{col 76}{space 3} 12.25591
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 21.30168{col 35}{space 2} 8.943295{col 46}{space 1}    2.38{col 55}{space 3}0.018{col 63}{space 4} 3.699169{col 76}{space 3} 38.90418
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth1.doc, replace
{txt}{stata `"shellout using `"conyersrobusth1.doc"'"':conyersrobusth1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth1.txt""':seeout}

{com}. 
. reg demtherm i.t2vt1##i.democrat age edu female black hisp asian if detroit_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       288
{txt}{hline 13}{c +}{hline 34}   F(9, 278)       = {res}    25.33
{txt}       Model {c |} {res} 109709.096         9  12189.8995   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 133782.849       278  481.233269   {txt}R-squared       ={res}    0.4506
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4328
{txt}       Total {c |} {res} 243491.944       287  848.403988   {txt}Root MSE        =   {res} 21.937

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t2vt1 {c |}
{space 9}Treatment 2  {c |}{col 23}{res}{space 2} .1127277{col 35}{space 2} 4.526532{col 46}{space 1}    0.02{col 55}{space 3}0.980{col 63}{space 4}-8.797904{col 76}{space 3} 9.023359
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 41.61902{col 35}{space 2} 3.713692{col 46}{space 1}   11.21{col 55}{space 3}0.000{col 63}{space 4} 34.30849{col 76}{space 3} 48.92955
{txt}{space 21} {c |}
{space 7}t2vt1#democrat {c |}
Treatment 2#Democrat  {c |}{col 23}{res}{space 2}-2.020513{col 35}{space 2} 5.530972{col 46}{space 1}   -0.37{col 55}{space 3}0.715{col 63}{space 4}-12.90842{col 76}{space 3} 8.867393
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2}-.0634746{col 35}{space 2} .1066414{col 46}{space 1}   -0.60{col 55}{space 3}0.552{col 63}{space 4}-.2734018{col 76}{space 3} .1464527
{txt}{space 18}edu {c |}{col 23}{res}{space 2} .0830406{col 35}{space 2} 1.543852{col 46}{space 1}    0.05{col 55}{space 3}0.957{col 63}{space 4}-2.956085{col 76}{space 3} 3.122166
{txt}{space 15}female {c |}{col 23}{res}{space 2} 5.011696{col 35}{space 2} 2.632925{col 46}{space 1}    1.90{col 55}{space 3}0.058{col 63}{space 4}-.1713064{col 76}{space 3}  10.1947
{txt}{space 16}black {c |}{col 23}{res}{space 2}-10.63707{col 35}{space 2} 4.872079{col 46}{space 1}   -2.18{col 55}{space 3}0.030{col 63}{space 4}-20.22792{col 76}{space 3}-1.046214
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-8.322613{col 35}{space 2} 5.921444{col 46}{space 1}   -1.41{col 55}{space 3}0.161{col 63}{space 4}-19.97918{col 76}{space 3} 3.333952
{txt}{space 16}asian {c |}{col 23}{res}{space 2} 2.668761{col 35}{space 2} 4.538378{col 46}{space 1}    0.59{col 55}{space 3}0.557{col 63}{space 4} -6.26519{col 76}{space 3} 11.60271
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 21.32132{col 35}{space 2}  9.02545{col 46}{space 1}    2.36{col 55}{space 3}0.019{col 63}{space 4} 3.554412{col 76}{space 3} 39.08822
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth1.doc, append
{txt}{stata `"shellout using `"conyersrobusth1.doc"'"':conyersrobusth1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth1.txt""':seeout}

{com}. 
. reg demtherm i.t2vt1##i.democrat##i.conyers_race age edu female black hisp asian if detroit_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       288
{txt}{hline 13}{c +}{hline 34}   F(13, 274)      = {res}    18.00
{txt}       Model {c |} {res} 112154.275        13  8627.25189   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  131337.67       274  479.334561   {txt}R-squared       ={res}    0.4606
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4350
{txt}       Total {c |} {res} 243491.944       287  848.403988   {txt}Root MSE        =   {res} 21.894

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     demtherm{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}t2vt1 {c |}
{space 17}Treatment 2  {c |}{col 31}{res}{space 2} .9962889{col 43}{space 2} 5.601558{col 54}{space 1}    0.18{col 63}{space 3}0.859{col 71}{space 4}-10.03127{col 84}{space 3} 12.02385
{txt}{space 29} {c |}
{space 21}democrat {c |}
{space 20}Democrat  {c |}{col 31}{res}{space 2} 39.01264{col 43}{space 2} 4.728301{col 54}{space 1}    8.25{col 63}{space 3}0.000{col 71}{space 4} 29.70423{col 84}{space 3} 48.32106
{txt}{space 29} {c |}
{space 15}t2vt1#democrat {c |}
{space 8}Treatment 2#Democrat  {c |}{col 31}{res}{space 2}-1.401026{col 43}{space 2} 6.902509{col 54}{space 1}   -0.20{col 63}{space 3}0.839{col 71}{space 4}-14.98972{col 84}{space 3} 12.18767
{txt}{space 29} {c |}
{space 17}conyers_race {c |}
{space 21}Correct  {c |}{col 31}{res}{space 2}-7.213116{col 43}{space 2} 5.955448{col 54}{space 1}   -1.21{col 63}{space 3}0.227{col 71}{space 4}-18.93737{col 84}{space 3} 4.511135
{txt}{space 29} {c |}
{space 11}t2vt1#conyers_race {c |}
{space 9}Treatment 2#Correct  {c |}{col 31}{res}{space 2}-6.150824{col 43}{space 2} 9.516387{col 54}{space 1}   -0.65{col 63}{space 3}0.519{col 71}{space 4}-24.88535{col 84}{space 3}  12.5837
{txt}{space 29} {c |}
{space 8}democrat#conyers_race {c |}
{space 12}Democrat#Correct  {c |}{col 31}{res}{space 2} 6.134801{col 43}{space 2} 7.541271{col 54}{space 1}    0.81{col 63}{space 3}0.417{col 71}{space 4}-8.711395{col 84}{space 3}   20.981
{txt}{space 29} {c |}
{space 2}t2vt1#democrat#conyers_race {c |}
Treatment 2#Democrat#Correct  {c |}{col 31}{res}{space 2} 2.973772{col 43}{space 2}  11.6739{col 54}{space 1}    0.25{col 63}{space 3}0.799{col 71}{space 4}-20.00816{col 84}{space 3}  25.9557
{txt}{space 29} {c |}
{space 26}age {c |}{col 31}{res}{space 2}-.0071548{col 43}{space 2} .1105513{col 54}{space 1}   -0.06{col 63}{space 3}0.948{col 71}{space 4}-.2247927{col 84}{space 3} .2104831
{txt}{space 26}edu {c |}{col 31}{res}{space 2} .3843542{col 43}{space 2} 1.567403{col 54}{space 1}    0.25{col 63}{space 3}0.806{col 71}{space 4}-2.701329{col 84}{space 3} 3.470037
{txt}{space 23}female {c |}{col 31}{res}{space 2} 4.133607{col 43}{space 2} 2.672924{col 54}{space 1}    1.55{col 63}{space 3}0.123{col 71}{space 4}-1.128471{col 84}{space 3} 9.395684
{txt}{space 24}black {c |}{col 31}{res}{space 2}-10.21609{col 43}{space 2} 4.878691{col 54}{space 1}   -2.09{col 63}{space 3}0.037{col 71}{space 4}-19.82057{col 84}{space 3}-.6116097
{txt}{space 25}hisp {c |}{col 31}{res}{space 2}-6.045405{col 43}{space 2} 6.011165{col 54}{space 1}   -1.01{col 63}{space 3}0.315{col 71}{space 4}-17.87934{col 84}{space 3} 5.788533
{txt}{space 24}asian {c |}{col 31}{res}{space 2} 3.324784{col 43}{space 2}  4.54678{col 54}{space 1}    0.73{col 63}{space 3}0.465{col 71}{space 4}-5.626279{col 84}{space 3} 12.27585
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 20.90636{col 43}{space 2} 9.307279{col 54}{space 1}    2.25{col 63}{space 3}0.025{col 71}{space 4} 2.583494{col 84}{space 3} 39.22922
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth1.doc, append
{txt}{stata `"shellout using `"conyersrobusth1.doc"'"':conyersrobusth1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth1.txt""':seeout}

{com}. 
. reg demtherm i.t2vt1##i.democrat age edu female black hisp asian if detroit_mm == 0 & conyers_race == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       181
{txt}{hline 13}{c +}{hline 34}   F(9, 171)       = {res}    14.55
{txt}       Model {c |} {res} 63202.0426         9  7022.44918   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  82532.974       171   482.64897   {txt}R-squared       ={res}    0.4337
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4039
{txt}       Total {c |} {res} 145735.017       180  809.638981   {txt}Root MSE        =   {res} 21.969

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t2vt1 {c |}
{space 9}Treatment 2  {c |}{col 23}{res}{space 2} 1.118659{col 35}{space 2} 5.648077{col 46}{space 1}    0.20{col 55}{space 3}0.843{col 63}{space 4}-10.03027{col 76}{space 3} 12.26759
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 40.10131{col 35}{space 2}  4.79524{col 46}{space 1}    8.36{col 55}{space 3}0.000{col 63}{space 4} 30.63582{col 76}{space 3}  49.5668
{txt}{space 21} {c |}
{space 7}t2vt1#democrat {c |}
Treatment 2#Democrat  {c |}{col 23}{res}{space 2}-1.886377{col 35}{space 2}  6.94573{col 46}{space 1}   -0.27{col 55}{space 3}0.786{col 63}{space 4}-15.59679{col 76}{space 3} 11.82404
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2} .0677006{col 35}{space 2} .1503064{col 46}{space 1}    0.45{col 55}{space 3}0.653{col 63}{space 4}-.2289943{col 76}{space 3} .3643955
{txt}{space 18}edu {c |}{col 23}{res}{space 2}-.2213792{col 35}{space 2} 2.068396{col 46}{space 1}   -0.11{col 55}{space 3}0.915{col 63}{space 4}-4.304257{col 76}{space 3} 3.861499
{txt}{space 15}female {c |}{col 23}{res}{space 2}  5.21576{col 35}{space 2} 3.320808{col 46}{space 1}    1.57{col 55}{space 3}0.118{col 63}{space 4}-1.339295{col 76}{space 3} 11.77082
{txt}{space 16}black {c |}{col 23}{res}{space 2} -13.5048{col 35}{space 2} 6.136851{col 46}{space 1}   -2.20{col 55}{space 3}0.029{col 63}{space 4}-25.61853{col 76}{space 3}-1.391057
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-19.22599{col 35}{space 2} 9.369008{col 46}{space 1}   -2.05{col 55}{space 3}0.042{col 63}{space 4} -37.7198{col 76}{space 3}-.7321916
{txt}{space 16}asian {c |}{col 23}{res}{space 2} 6.601482{col 35}{space 2} 5.991491{col 46}{space 1}    1.10{col 55}{space 3}0.272{col 63}{space 4}-5.225325{col 76}{space 3} 18.42829
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 20.17508{col 35}{space 2} 11.63125{col 46}{space 1}    1.73{col 55}{space 3}0.085{col 63}{space 4}-2.784247{col 76}{space 3} 43.13441
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth1.doc, append
{txt}{stata `"shellout using `"conyersrobusth1.doc"'"':conyersrobusth1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth1.txt""':seeout}

{com}. 
. *******************************   Table 21A   **********************************
. 
. reg demtherm i.t3vt2##i.democrat age edu female black hisp asian

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       273
{txt}{hline 13}{c +}{hline 34}   F(9, 263)       = {res}    19.64
{txt}       Model {c |} {res} 85834.4586         9  9537.16207   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 127734.508       263  485.682542   {txt}R-squared       ={res}    0.4019
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3814
{txt}       Total {c |} {res} 213568.967       272  785.180026   {txt}Root MSE        =   {res} 22.038

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t3vt2 {c |}
{space 9}Treatment 3  {c |}{col 23}{res}{space 2} 4.629021{col 35}{space 2}  4.56051{col 46}{space 1}    1.02{col 55}{space 3}0.311{col 63}{space 4}-4.350737{col 76}{space 3} 13.60878
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 37.42856{col 35}{space 2} 4.215111{col 46}{space 1}    8.88{col 55}{space 3}0.000{col 63}{space 4}  29.1289{col 76}{space 3} 45.72822
{txt}{space 21} {c |}
{space 7}t3vt2#democrat {c |}
Treatment 3#Democrat  {c |}{col 23}{res}{space 2}-3.923582{col 35}{space 2} 5.670066{col 46}{space 1}   -0.69{col 55}{space 3}0.490{col 63}{space 4}-15.08808{col 76}{space 3}  7.24092
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2} -.066273{col 35}{space 2} .1123412{col 46}{space 1}   -0.59{col 55}{space 3}0.556{col 63}{space 4}-.2874756{col 76}{space 3} .1549296
{txt}{space 18}edu {c |}{col 23}{res}{space 2} 1.748816{col 35}{space 2} 1.554675{col 46}{space 1}    1.12{col 55}{space 3}0.262{col 63}{space 4}-1.312378{col 76}{space 3} 4.810011
{txt}{space 15}female {c |}{col 23}{res}{space 2} 3.717215{col 35}{space 2} 2.716878{col 46}{space 1}    1.37{col 55}{space 3}0.172{col 63}{space 4}-1.632385{col 76}{space 3} 9.066815
{txt}{space 16}black {c |}{col 23}{res}{space 2}-11.34055{col 35}{space 2} 5.657572{col 46}{space 1}   -2.00{col 55}{space 3}0.046{col 63}{space 4}-22.48045{col 76}{space 3}-.2006518
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-4.207578{col 35}{space 2} 6.563431{col 46}{space 1}   -0.64{col 55}{space 3}0.522{col 63}{space 4}-17.13114{col 76}{space 3} 8.715982
{txt}{space 16}asian {c |}{col 23}{res}{space 2} 11.85081{col 35}{space 2} 5.534915{col 46}{space 1}    2.14{col 55}{space 3}0.033{col 63}{space 4} .9524249{col 76}{space 3}  22.7492
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 14.24775{col 35}{space 2} 9.274529{col 46}{space 1}    1.54{col 55}{space 3}0.126{col 63}{space 4}-4.014029{col 76}{space 3} 32.50953
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth2.doc, replace
{txt}{stata `"shellout using `"conyersrobusth2.doc"'"':conyersrobusth2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth2.txt""':seeout}

{com}. 
. reg demtherm i.t3vt2##i.democrat age edu female black hisp asian if detroit_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       264
{txt}{hline 13}{c +}{hline 34}   F(9, 254)       = {res}    19.98
{txt}       Model {c |} {res} 85154.4326         9  9461.60362   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 120266.382       254  473.489692   {txt}R-squared       ={res}    0.4145
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3938
{txt}       Total {c |} {res} 205420.814       263  781.067735   {txt}Root MSE        =   {res}  21.76

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t3vt2 {c |}
{space 9}Treatment 3  {c |}{col 23}{res}{space 2}  4.74203{col 35}{space 2} 4.554139{col 46}{space 1}    1.04{col 55}{space 3}0.299{col 63}{space 4}-4.226652{col 76}{space 3} 13.71071
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 38.05979{col 35}{space 2} 4.244992{col 46}{space 1}    8.97{col 55}{space 3}0.000{col 63}{space 4} 29.69993{col 76}{space 3} 46.41966
{txt}{space 21} {c |}
{space 7}t3vt2#democrat {c |}
Treatment 3#Democrat  {c |}{col 23}{res}{space 2} -4.11965{col 35}{space 2} 5.691453{col 46}{space 1}   -0.72{col 55}{space 3}0.470{col 63}{space 4} -15.3281{col 76}{space 3} 7.088799
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2}-.0600487{col 35}{space 2} .1120233{col 46}{space 1}   -0.54{col 55}{space 3}0.592{col 63}{space 4}-.2806615{col 76}{space 3}  .160564
{txt}{space 18}edu {c |}{col 23}{res}{space 2}  1.62624{col 35}{space 2} 1.583052{col 46}{space 1}    1.03{col 55}{space 3}0.305{col 63}{space 4} -1.49134{col 76}{space 3} 4.743819
{txt}{space 15}female {c |}{col 23}{res}{space 2} 3.563651{col 35}{space 2} 2.730219{col 46}{space 1}    1.31{col 55}{space 3}0.193{col 63}{space 4}  -1.8131{col 76}{space 3} 8.940401
{txt}{space 16}black {c |}{col 23}{res}{space 2}-9.677214{col 35}{space 2} 5.769438{col 46}{space 1}   -1.68{col 55}{space 3}0.095{col 63}{space 4}-21.03924{col 76}{space 3} 1.684815
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-5.121849{col 35}{space 2} 6.488185{col 46}{space 1}   -0.79{col 55}{space 3}0.431{col 63}{space 4}-17.89934{col 76}{space 3} 7.655643
{txt}{space 16}asian {c |}{col 23}{res}{space 2} 10.87199{col 35}{space 2}  5.47826{col 46}{space 1}    1.98{col 55}{space 3}0.048{col 63}{space 4} .0833904{col 76}{space 3} 21.66059
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 15.05434{col 35}{space 2} 9.356688{col 46}{space 1}    1.61{col 55}{space 3}0.109{col 63}{space 4}-3.372227{col 76}{space 3} 33.48091
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth2.doc, append
{txt}{stata `"shellout using `"conyersrobusth2.doc"'"':conyersrobusth2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth2.txt""':seeout}

{com}. 
. reg demtherm i.t3vt2##i.democrat##i.conyers_race age edu female black hisp asian if detroit_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       264
{txt}{hline 13}{c +}{hline 34}   F(13, 250)      = {res}    14.30
{txt}       Model {c |} {res} 87612.9995        13   6739.4615   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 117807.815       250  471.231259   {txt}R-squared       ={res}    0.4265
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3967
{txt}       Total {c |} {res} 205420.814       263  781.067735   {txt}Root MSE        =   {res} 21.708

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     demtherm{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}t3vt2 {c |}
{space 17}Treatment 3  {c |}{col 31}{res}{space 2} 1.977541{col 43}{space 2} 5.320042{col 54}{space 1}    0.37{col 63}{space 3}0.710{col 71}{space 4}-8.500273{col 84}{space 3} 12.45536
{txt}{space 29} {c |}
{space 21}democrat {c |}
{space 20}Democrat  {c |}{col 31}{res}{space 2} 36.43863{col 43}{space 2} 5.122667{col 54}{space 1}    7.11{col 63}{space 3}0.000{col 71}{space 4} 26.34955{col 84}{space 3} 46.52772
{txt}{space 29} {c |}
{space 15}t3vt2#democrat {c |}
{space 8}Treatment 3#Democrat  {c |}{col 31}{res}{space 2}-2.403181{col 43}{space 2} 6.973458{col 54}{space 1}   -0.34{col 63}{space 3}0.731{col 71}{space 4} -16.1374{col 84}{space 3} 11.33103
{txt}{space 29} {c |}
{space 17}conyers_race {c |}
{space 21}Correct  {c |}{col 31}{res}{space 2}-13.89954{col 43}{space 2} 7.555359{col 54}{space 1}   -1.84{col 63}{space 3}0.067{col 71}{space 4} -28.7798{col 84}{space 3} .9807297
{txt}{space 29} {c |}
{space 11}t3vt2#conyers_race {c |}
{space 9}Treatment 3#Correct  {c |}{col 31}{res}{space 2} 9.124799{col 43}{space 2} 10.19747{col 54}{space 1}    0.89{col 63}{space 3}0.372{col 71}{space 4} -10.9591{col 84}{space 3}  29.2087
{txt}{space 29} {c |}
{space 8}democrat#conyers_race {c |}
{space 12}Democrat#Correct  {c |}{col 31}{res}{space 2} 8.526228{col 43}{space 2} 8.837177{col 54}{space 1}    0.96{col 63}{space 3}0.336{col 71}{space 4}-8.878578{col 84}{space 3} 25.93103
{txt}{space 29} {c |}
{space 2}t3vt2#democrat#conyers_race {c |}
Treatment 3#Democrat#Correct  {c |}{col 31}{res}{space 2}-6.468919{col 43}{space 2} 12.25236{col 54}{space 1}   -0.53{col 63}{space 3}0.598{col 71}{space 4}-30.59992{col 84}{space 3} 17.66208
{txt}{space 29} {c |}
{space 26}age {c |}{col 31}{res}{space 2}-.0087661{col 43}{space 2} .1150259{col 54}{space 1}   -0.08{col 63}{space 3}0.939{col 71}{space 4}-.2353094{col 84}{space 3} .2177771
{txt}{space 26}edu {c |}{col 31}{res}{space 2} 1.901416{col 43}{space 2}  1.60582{col 54}{space 1}    1.18{col 63}{space 3}0.238{col 71}{space 4}-1.261245{col 84}{space 3} 5.064076
{txt}{space 23}female {c |}{col 31}{res}{space 2} 2.812113{col 43}{space 2} 2.750428{col 54}{space 1}    1.02{col 63}{space 3}0.308{col 71}{space 4}-2.604851{col 84}{space 3} 8.229076
{txt}{space 24}black {c |}{col 31}{res}{space 2}-9.210111{col 43}{space 2} 5.767336{col 54}{space 1}   -1.60{col 63}{space 3}0.112{col 71}{space 4}-20.56887{col 84}{space 3} 2.148649
{txt}{space 25}hisp {c |}{col 31}{res}{space 2}-2.698366{col 43}{space 2} 6.599062{col 54}{space 1}   -0.41{col 63}{space 3}0.683{col 71}{space 4}-15.69521{col 84}{space 3} 10.29848
{txt}{space 24}asian {c |}{col 31}{res}{space 2} 11.01817{col 43}{space 2} 5.477245{col 54}{space 1}    2.01{col 63}{space 3}0.045{col 71}{space 4} .2307424{col 84}{space 3} 21.80559
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 15.93269{col 43}{space 2} 9.728667{col 54}{space 1}    1.64{col 63}{space 3}0.103{col 71}{space 4}  -3.2279{col 84}{space 3} 35.09329
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth2.doc, append
{txt}{stata `"shellout using `"conyersrobusth2.doc"'"':conyersrobusth2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth2.txt""':seeout}

{com}. 
. reg demtherm i.t3vt2##i.democrat age edu female black hisp asian if detroit_mm == 0 & conyers_race == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       164
{txt}{hline 13}{c +}{hline 34}   F(9, 154)       = {res}    13.90
{txt}       Model {c |} {res}  54422.289         9    6046.921   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 66981.9305       154  434.947601   {txt}R-squared       ={res}    0.4483
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4160
{txt}       Total {c |} {res}  121404.22       163  744.811163   {txt}Root MSE        =   {res} 20.855

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t3vt2 {c |}
{space 9}Treatment 3  {c |}{col 23}{res}{space 2} 1.733124{col 35}{space 2} 5.137084{col 46}{space 1}    0.34{col 55}{space 3}0.736{col 63}{space 4}-8.415125{col 76}{space 3} 11.88137
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 36.49642{col 35}{space 2} 4.994278{col 46}{space 1}    7.31{col 55}{space 3}0.000{col 63}{space 4} 26.63028{col 76}{space 3} 46.36255
{txt}{space 21} {c |}
{space 7}t3vt2#democrat {c |}
Treatment 3#Democrat  {c |}{col 23}{res}{space 2} -2.36908{col 35}{space 2}  6.72615{col 46}{space 1}   -0.35{col 55}{space 3}0.725{col 63}{space 4}-15.65651{col 76}{space 3} 10.91835
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2} .0356911{col 35}{space 2} .1452068{col 46}{space 1}    0.25{col 55}{space 3}0.806{col 63}{space 4}-.2511632{col 76}{space 3} .3225455
{txt}{space 18}edu {c |}{col 23}{res}{space 2} 2.741688{col 35}{space 2} 2.053908{col 46}{space 1}    1.33{col 55}{space 3}0.184{col 63}{space 4}-1.315783{col 76}{space 3}  6.79916
{txt}{space 15}female {c |}{col 23}{res}{space 2}  2.57334{col 35}{space 2} 3.302971{col 46}{space 1}    0.78{col 55}{space 3}0.437{col 63}{space 4}-3.951639{col 76}{space 3}  9.09832
{txt}{space 16}black {c |}{col 23}{res}{space 2}-9.405672{col 35}{space 2} 7.500199{col 46}{space 1}   -1.25{col 55}{space 3}0.212{col 63}{space 4}-24.22222{col 76}{space 3} 5.410881
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-6.607374{col 35}{space 2} 10.80646{col 46}{space 1}   -0.61{col 55}{space 3}0.542{col 63}{space 4}-27.95542{col 76}{space 3} 14.74067
{txt}{space 16}asian {c |}{col 23}{res}{space 2}  12.8831{col 35}{space 2} 6.422416{col 46}{space 1}    2.01{col 55}{space 3}0.047{col 63}{space 4} .1956942{col 76}{space 3} 25.57051
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 10.65599{col 35}{space 2} 11.87995{col 46}{space 1}    0.90{col 55}{space 3}0.371{col 63}{space 4}-12.81272{col 76}{space 3}  34.1247
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth2.doc, append
{txt}{stata `"shellout using `"conyersrobusth2.doc"'"':conyersrobusth2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth2.txt""':seeout}

{com}. 
. *******************************   Table 22A   **********************************
. 
. reg reptherm i.t2vt1##i.republican age edu female black hisp asian

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       298
{txt}{hline 13}{c +}{hline 34}   F(9, 288)       = {res}    39.61
{txt}       Model {c |} {res} 146339.381         9  16259.9313   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 118213.988       288  410.465235   {txt}R-squared       ={res}    0.5532
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5392
{txt}       Total {c |} {res} 264553.369       297  890.752085   {txt}Root MSE        =   {res}  20.26

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t2vt1 {c |}
{space 11}Treatment 2  {c |}{col 25}{res}{space 2}-3.716918{col 37}{space 2} 2.893979{col 48}{space 1}   -1.28{col 57}{space 3}0.200{col 65}{space 4} -9.41295{col 78}{space 3} 1.979114
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2} 40.84976{col 37}{space 2} 3.383142{col 48}{space 1}   12.07{col 57}{space 3}0.000{col 65}{space 4} 34.19094{col 78}{space 3} 47.50858
{txt}{space 23} {c |}
{space 7}t2vt1#republican {c |}
Treatment 2#Republican  {c |}{col 25}{res}{space 2} 10.72905{col 37}{space 2} 5.032021{col 48}{space 1}    2.13{col 57}{space 3}0.034{col 65}{space 4} .8248495{col 78}{space 3} 20.63325
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}-.2043907{col 37}{space 2}  .097448{col 48}{space 1}   -2.10{col 57}{space 3}0.037{col 65}{space 4}-.3961913{col 78}{space 3}-.0125901
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-3.889873{col 37}{space 2} 1.409799{col 48}{space 1}   -2.76{col 57}{space 3}0.006{col 65}{space 4}-6.664689{col 78}{space 3}-1.115057
{txt}{space 17}female {c |}{col 25}{res}{space 2} 2.704788{col 37}{space 2} 2.392529{col 48}{space 1}    1.13{col 57}{space 3}0.259{col 65}{space 4}-2.004271{col 78}{space 3} 7.413847
{txt}{space 18}black {c |}{col 25}{res}{space 2}-.8859962{col 37}{space 2}  4.48586{col 48}{space 1}   -0.20{col 57}{space 3}0.844{col 65}{space 4}-9.715224{col 78}{space 3} 7.943232
{txt}{space 19}hisp {c |}{col 25}{res}{space 2} 4.288619{col 37}{space 2} 5.460422{col 48}{space 1}    0.79{col 57}{space 3}0.433{col 65}{space 4}-6.458775{col 78}{space 3} 15.03601
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-3.742596{col 37}{space 2}  4.12023{col 48}{space 1}   -0.91{col 57}{space 3}0.364{col 65}{space 4}-11.85218{col 78}{space 3} 4.366986
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 44.27014{col 37}{space 2} 7.960259{col 48}{space 1}    5.56{col 57}{space 3}0.000{col 65}{space 4} 28.60248{col 78}{space 3} 59.93781
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth3.doc, replace
{txt}{stata `"shellout using `"conyersrobusth3.doc"'"':conyersrobusth3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth3.txt""':seeout}

{com}. 
. reg reptherm i.t2vt1##i.republican age edu female black hisp asian  if detroit_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       288
{txt}{hline 13}{c +}{hline 34}   F(9, 278)       = {res}    37.37
{txt}       Model {c |} {res} 140481.083         9  15609.0092   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 116125.497       278  417.717614   {txt}R-squared       ={res}    0.5475
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5328
{txt}       Total {c |} {res}  256606.58       287  894.099581   {txt}Root MSE        =   {res} 20.438

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t2vt1 {c |}
{space 11}Treatment 2  {c |}{col 25}{res}{space 2}-3.843828{col 37}{space 2} 2.979367{col 48}{space 1}   -1.29{col 57}{space 3}0.198{col 65}{space 4}-9.708812{col 78}{space 3} 2.021157
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2} 40.33506{col 37}{space 2} 3.459947{col 48}{space 1}   11.66{col 57}{space 3}0.000{col 65}{space 4} 33.52404{col 78}{space 3} 47.14609
{txt}{space 23} {c |}
{space 7}t2vt1#republican {c |}
Treatment 2#Republican  {c |}{col 25}{res}{space 2} 10.55267{col 37}{space 2} 5.153058{col 48}{space 1}    2.05{col 57}{space 3}0.042{col 65}{space 4} .4087021{col 78}{space 3} 20.69664
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}-.2024503{col 37}{space 2} .0993549{col 48}{space 1}   -2.04{col 57}{space 3}0.043{col 65}{space 4}-.3980339{col 78}{space 3}-.0068667
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-3.923216{col 37}{space 2} 1.438365{col 48}{space 1}   -2.73{col 57}{space 3}0.007{col 65}{space 4}-6.754687{col 78}{space 3}-1.091745
{txt}{space 17}female {c |}{col 25}{res}{space 2} 3.391322{col 37}{space 2} 2.453026{col 48}{space 1}    1.38{col 57}{space 3}0.168{col 65}{space 4}-1.437542{col 78}{space 3} 8.220186
{txt}{space 18}black {c |}{col 25}{res}{space 2}-1.209152{col 37}{space 2} 4.539185{col 48}{space 1}   -0.27{col 57}{space 3}0.790{col 65}{space 4}-10.14469{col 78}{space 3} 7.726387
{txt}{space 19}hisp {c |}{col 25}{res}{space 2} 4.186982{col 37}{space 2} 5.516851{col 48}{space 1}    0.76{col 57}{space 3}0.449{col 65}{space 4}-6.673126{col 78}{space 3} 15.04709
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-4.558128{col 37}{space 2} 4.228285{col 48}{space 1}   -1.08{col 57}{space 3}0.282{col 65}{space 4}-12.88165{col 78}{space 3} 3.765394
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 44.45204{col 37}{space 2} 8.126796{col 48}{space 1}    5.47{col 57}{space 3}0.000{col 65}{space 4} 28.45416{col 78}{space 3} 60.44991
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth3.doc, append
{txt}{stata `"shellout using `"conyersrobusth3.doc"'"':conyersrobusth3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth3.txt""':seeout}

{com}. 
. reg reptherm i.t2vt1##i.republican##i.conyers_race age edu female black hisp asian if detroit_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       288
{txt}{hline 13}{c +}{hline 34}   F(13, 274)      = {res}    26.30
{txt}       Model {c |} {res} 142457.994        13  10958.3073   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 114148.585       274  416.600677   {txt}R-squared       ={res}    0.5552
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5341
{txt}       Total {c |} {res}  256606.58       287  894.099581   {txt}Root MSE        =   {res} 20.411

{txt}{hline 32}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       reptherm{col 33}{c |}      Coef.{col 45}   Std. Err.{col 57}      t{col 65}   P>|t|{col 73}     [95% Con{col 86}f. Interval]
{hline 32}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}t2vt1 {c |}
{space 19}Treatment 2  {c |}{col 33}{res}{space 2}-6.584087{col 45}{space 2} 3.792501{col 56}{space 1}   -1.74{col 65}{space 3}0.084{col 73}{space 4}-14.05023{col 86}{space 3} .8820559
{txt}{space 31} {c |}
{space 21}republican {c |}
{space 20}Republican  {c |}{col 33}{res}{space 2} 37.47195{col 45}{space 2} 4.408042{col 56}{space 1}    8.50{col 65}{space 3}0.000{col 73}{space 4} 28.79402{col 86}{space 3} 46.14988
{txt}{space 31} {c |}
{space 15}t2vt1#republican {c |}
{space 8}Treatment 2#Republican  {c |}{col 33}{res}{space 2} 13.91688{col 45}{space 2} 6.434986{col 56}{space 1}    2.16{col 65}{space 3}0.031{col 73}{space 4} 1.248584{col 86}{space 3} 26.58518
{txt}{space 31} {c |}
{space 19}conyers_race {c |}
{space 23}Correct  {c |}{col 33}{res}{space 2}-9.660894{col 45}{space 2} 4.526999{col 56}{space 1}   -2.13{col 65}{space 3}0.034{col 73}{space 4}-18.57301{col 86}{space 3} -.748774
{txt}{space 31} {c |}
{space 13}t2vt1#conyers_race {c |}
{space 11}Treatment 2#Correct  {c |}{col 33}{res}{space 2} 8.881882{col 45}{space 2} 6.247427{col 56}{space 1}    1.42{col 65}{space 3}0.156{col 73}{space 4}-3.417176{col 86}{space 3} 21.18094
{txt}{space 31} {c |}
{space 8}republican#conyers_race {c |}
{space 12}Republican#Correct  {c |}{col 33}{res}{space 2} 8.770517{col 45}{space 2} 7.030483{col 56}{space 1}    1.25{col 65}{space 3}0.213{col 73}{space 4}-5.070112{col 86}{space 3} 22.61115
{txt}{space 31} {c |}
{space 2}t2vt1#republican#conyers_race {c |}
Treatment 2#Republican#Correct  {c |}{col 33}{res}{space 2}-11.34086{col 45}{space 2}  10.8832{col 56}{space 1}   -1.04{col 65}{space 3}0.298{col 73}{space 4}-32.76617{col 86}{space 3} 10.08445
{txt}{space 31} {c |}
{space 28}age {c |}{col 33}{res}{space 2} -.166083{col 45}{space 2} .1030634{col 56}{space 1}   -1.61{col 65}{space 3}0.108{col 73}{space 4}-.3689798{col 86}{space 3} .0368137
{txt}{space 28}edu {c |}{col 33}{res}{space 2}-3.831905{col 45}{space 2} 1.461239{col 56}{space 1}   -2.62{col 65}{space 3}0.009{col 73}{space 4}-6.708587{col 86}{space 3}-.9552222
{txt}{space 25}female {c |}{col 33}{res}{space 2} 2.682619{col 45}{space 2}  2.49188{col 56}{space 1}    1.08{col 65}{space 3}0.283{col 73}{space 4}-2.223045{col 86}{space 3} 7.588284
{txt}{space 26}black {c |}{col 33}{res}{space 2}-1.686442{col 45}{space 2} 4.548245{col 56}{space 1}   -0.37{col 65}{space 3}0.711{col 73}{space 4}-10.64039{col 86}{space 3} 7.267506
{txt}{space 27}hisp {c |}{col 33}{res}{space 2} 5.513333{col 45}{space 2} 5.604015{col 56}{space 1}    0.98{col 65}{space 3}0.326{col 73}{space 4}-5.519065{col 86}{space 3} 16.54573
{txt}{space 26}asian {c |}{col 33}{res}{space 2}-3.946665{col 45}{space 2} 4.238816{col 56}{space 1}   -0.93{col 65}{space 3}0.353{col 73}{space 4}-12.29145{col 86}{space 3} 4.398121
{txt}{space 26}_cons {c |}{col 33}{res}{space 2} 45.98828{col 45}{space 2} 8.395783{col 56}{space 1}    5.48{col 65}{space 3}0.000{col 73}{space 4} 29.45984{col 86}{space 3} 62.51672
{txt}{hline 32}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth3.doc, append
{txt}{stata `"shellout using `"conyersrobusth3.doc"'"':conyersrobusth3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth3.txt""':seeout}

{com}. 
. reg reptherm i.t2vt1##i.republican age edu female black hisp asian if detroit_mm == 0 & conyers_race == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       181
{txt}{hline 13}{c +}{hline 34}   F(9, 171)       = {res}    21.19
{txt}       Model {c |} {res} 85166.5206         9  9462.94673   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 76358.4186       171   446.54046   {txt}R-squared       ={res}    0.5273
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5024
{txt}       Total {c |} {res} 161524.939       180  897.360773   {txt}Root MSE        =   {res} 21.132

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t2vt1 {c |}
{space 11}Treatment 2  {c |}{col 25}{res}{space 2}-6.804575{col 37}{space 2} 3.947829{col 48}{space 1}   -1.72{col 57}{space 3}0.087{col 65}{space 4}-14.59733{col 78}{space 3} .9881799
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2}  36.5864{col 37}{space 2}  4.61238{col 48}{space 1}    7.93{col 57}{space 3}0.000{col 65}{space 4} 27.48187{col 78}{space 3} 45.69093
{txt}{space 23} {c |}
{space 7}t2vt1#republican {c |}
Treatment 2#Republican  {c |}{col 25}{res}{space 2} 14.64951{col 37}{space 2} 6.680864{col 48}{space 1}    2.19{col 57}{space 3}0.030{col 65}{space 4} 1.461931{col 78}{space 3}  27.8371
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2} -.285258{col 37}{space 2} .1445746{col 48}{space 1}   -1.97{col 57}{space 3}0.050{col 65}{space 4}-.5706388{col 78}{space 3} .0001228
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-3.681721{col 37}{space 2} 1.989521{col 48}{space 1}   -1.85{col 57}{space 3}0.066{col 65}{space 4}-7.608904{col 78}{space 3} .2454614
{txt}{space 17}female {c |}{col 25}{res}{space 2} 2.377481{col 37}{space 2} 3.194173{col 48}{space 1}    0.74{col 57}{space 3}0.458{col 65}{space 4}-3.927605{col 78}{space 3} 8.682568
{txt}{space 18}black {c |}{col 25}{res}{space 2}-3.422617{col 37}{space 2}  5.90283{col 48}{space 1}   -0.58{col 57}{space 3}0.563{col 65}{space 4}-15.07441{col 78}{space 3} 8.229181
{txt}{space 19}hisp {c |}{col 25}{res}{space 2} -10.2145{col 37}{space 2} 9.011733{col 48}{space 1}   -1.13{col 57}{space 3}0.259{col 65}{space 4}-28.00307{col 78}{space 3} 7.574067
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-10.65533{col 37}{space 2} 5.763013{col 48}{space 1}   -1.85{col 57}{space 3}0.066{col 65}{space 4}-22.03113{col 78}{space 3} .7204794
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 51.35962{col 37}{space 2} 11.05222{col 48}{space 1}    4.65{col 57}{space 3}0.000{col 65}{space 4} 29.54327{col 78}{space 3} 73.17597
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using conyersrobusth3.doc, append
{txt}{stata `"shellout using `"conyersrobusth3.doc"'"':conyersrobusth3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "conyersrobusth3.txt""':seeout}

{com}. 
. * Data Audit * 
. 
. ttest demtherm if democrat == 1 & duplicate_ip == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}    100{col 22}    62.21{col 34} 2.210411{col 46} 22.10411{col 58} 57.82406{col 70} 66.59594
{txt}Treatmen {c |}{res}{col 12}     94{col 22} 58.84043{col 34} 2.536185{col 46} 24.58923{col 58} 53.80406{col 70} 63.87679
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    194{col 22} 60.57732{col 34} 1.675822{col 46}  23.3415{col 58} 57.27204{col 70}  63.8826
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 3.369574{col 34} 3.353163{col 58}-3.244192{col 70} 9.983341
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  1.0049
{txt}Ho: diff = 0                                     degrees of freedom = {res}     192

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8419         {txt}Pr(|T| > |t|) = {res}0.3162          {txt}Pr(T > t) = {res}0.1581
{txt}
{com}. ttest demtherm if democrat == 1 & duplicate_ip == 0 & duplicate_latlong == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     97{col 22} 62.29897{col 34} 2.231605{col 46} 21.97876{col 58} 57.86927{col 70} 66.72867
{txt}Treatmen {c |}{res}{col 12}     89{col 22} 58.68539{col 34} 2.655222{col 46} 25.04931{col 58}  53.4087{col 70} 63.96209
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    186{col 22} 60.56989{col 34} 1.723368{col 46}  23.5036{col 58} 57.16991{col 70} 63.96987
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 3.613576{col 34} 3.449018{col 58}-3.191131{col 70} 10.41828
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  1.0477
{txt}Ho: diff = 0                                     degrees of freedom = {res}     184

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8519         {txt}Pr(|T| > |t|) = {res}0.2961          {txt}Pr(T > t) = {res}0.1481
{txt}
{com}. 
. ttest demtherm if democrat == 1 & duplicate_ip == 0, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     94{col 22} 58.84043{col 34} 2.536185{col 46} 24.58923{col 58} 53.80406{col 70} 63.87679
{txt}Treatmen {c |}{res}{col 12}     81{col 22} 59.34568{col 34} 2.358277{col 46} 21.22449{col 58} 54.65256{col 70}  64.0388
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    175{col 22} 59.07429{col 34} 1.740845{col 46} 23.02922{col 58} 55.63839{col 70} 62.51018
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.5052535{col 34} 3.501203{col 58}-7.415827{col 70}  6.40532
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -0.1443
{txt}Ho: diff = 0                                     degrees of freedom = {res}     173

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4427         {txt}Pr(|T| > |t|) = {res}0.8854          {txt}Pr(T > t) = {res}0.5573
{txt}
{com}. ttest demtherm if democrat == 1 & duplicate_ip == 0 & duplicate_latlong == 0, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     89{col 22} 58.68539{col 34} 2.655222{col 46} 25.04931{col 58}  53.4087{col 70} 63.96209
{txt}Treatmen {c |}{res}{col 12}     73{col 22} 59.90411{col 34} 2.433918{col 46} 20.79541{col 58} 55.05218{col 70} 64.75604
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    162{col 22} 59.23457{col 34} 1.820201{col 46} 23.16737{col 58} 55.64002{col 70} 62.82912
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.218716{col 34} 3.668437{col 58}-8.463519{col 70} 6.026086
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -0.3322
{txt}Ho: diff = 0                                     degrees of freedom = {res}     160

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3701         {txt}Pr(|T| > |t|) = {res}0.7402          {txt}Pr(T > t) = {res}0.6299
{txt}
{com}. 
. ttest reptherm if republican == 1 & duplicate_ip == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     59{col 22} 59.32203{col 34} 3.007825{col 46} 23.10355{col 58} 53.30122{col 70} 65.34285
{txt}Treatmen {c |}{res}{col 12}     41{col 22} 67.31707{col 34} 3.522305{col 46} 22.55376{col 58} 60.19823{col 70} 74.43592
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    100{col 22}     62.6{col 34} 2.310538{col 46} 23.10538{col 58} 58.01539{col 70} 67.18461
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-7.995039{col 34} 4.652133{col 58}-17.22705{col 70} 1.236967
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.7186
{txt}Ho: diff = 0                                     degrees of freedom = {res}      98

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0444         {txt}Pr(|T| > |t|) = {res}0.0888          {txt}Pr(T > t) = {res}0.9556
{txt}
{com}. ttest reptherm if republican == 1 & duplicate_ip == 0 & duplicate_latlong == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     52{col 22} 60.98077{col 34} 3.103116{col 46} 22.37689{col 58}   54.751{col 70} 67.21053
{txt}Treatmen {c |}{res}{col 12}     35{col 22} 67.02857{col 34} 3.460579{col 46} 20.47306{col 58} 59.99583{col 70} 74.06131
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     87{col 22} 63.41379{col 34} 2.328108{col 46} 21.71515{col 58} 58.78567{col 70} 68.04192
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-6.047802{col 34} 4.730317{col 58}-15.45294{col 70} 3.357336
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.2785
{txt}Ho: diff = 0                                     degrees of freedom = {res}      85

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1023         {txt}Pr(|T| > |t|) = {res}0.2045          {txt}Pr(T > t) = {res}0.8977
{txt}
{com}. 
. log close _all
      {txt}name:  {res}SA Study 2 Log File
       {txt}log:  {res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study2_Conyers/Logs/sa_study2_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2020, 15:12:07
{txt}{.-}
{smcl}
{txt}{sf}{ul off}